default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDU. N. Niranjan
Person information
- affiliation: University of California, Irvine, Electrical Engineering and Computer Science Department
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[i11]Son The Nguyen, Uma-Naresh Niranjan, Theja Tulabandhula:
CURATRON: Complete Robust Preference Data for Robust Alignment of Large Language Models. CoRR abs/2403.02745 (2024)- 2023
- [c10]Minjia Zhang, Uma-Naresh Niranjan, Yuxiong He:
Revisiting the Efficiency-Accuracy Tradeoff in Adapting Transformer Models via Adversarial Fine-Tuning. ECAI 2023: 3026-3033 - 2022
- [c9]Minjia Zhang, Uma-Naresh Niranjan, Yuxiong He:
Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-trained Transformers. AAAI 2022: 11685-11693 - [c8]Uma-Naresh Niranjan, Ziyan Jiang, Ankit Ankit, Sungjin Lee, Jie Hao, Xing Fan, Chenlei Guo:
PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding. EMNLP (Industry Track) 2022: 90-98 - [i10]Minjia Zhang, Uma-Naresh Niranjan, Yuxiong He:
ScaLA: Accelerating Adaptation of Pre-Trained Transformer-Based Language Models via Efficient Large-Batch Adversarial Noise. CoRR abs/2201.12469 (2022) - [i9]Uma-Naresh Niranjan, Ziyan Jiang, Ankit, Sungjin Lee, Jie Hao, Xing Fan, Chenlei Guo:
PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding. CoRR abs/2210.12308 (2022)
2010 – 2019
- 2019
- [c7]Furong Huang, U. N. Niranjan, Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar:
Guaranteed Scalable Learning of Latent Tree Models. UAI 2019: 883-893 - 2017
- [c6]U. N. Niranjan, Arun Rajkumar:
Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier. AAAI 2017: 2436-2442 - [c5]U. N. Niranjan, Arun Rajkumar, Theja Tulabandhula:
Provable Inductive Robust PCA via Iterative Hard Thresholding. UAI 2017 - [i8]U. N. Niranjan, Arun Rajkumar:
Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier. CoRR abs/1702.02661 (2017) - [i7]U. N. Niranjan, Arun Rajkumar, Theja Tulabandhula:
Provable Inductive Robust PCA via Iterative Hard Thresholding. CoRR abs/1704.00367 (2017) - 2016
- [b1]Uma-Naresh Niranjan:
Guaranteed and Efficient Learning Algorithms for Ranking and Matrix Factorization. University of California, Irvine, USA, 2016 - [c4]Anima Anandkumar, Prateek Jain, Yang Shi, U. N. Niranjan:
Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations. AISTATS 2016: 268-276 - [c3]Yang Shi, U. N. Niranjan, Animashree Anandkumar, Cris Cecka:
Tensor Contractions with Extended BLAS Kernels on CPU and GPU. HiPC 2016: 193-202 - [i6]Yang Shi, U. N. Niranjan, Animashree Anandkumar, Cris Cecka:
Tensor Contractions with Extended BLAS Kernels on CPU and GPU. CoRR abs/1606.05696 (2016) - 2015
- [j2]Furong Huang, U. N. Niranjan, Mohammad Umar Hakeem, Animashree Anandkumar:
Online tensor methods for learning latent variable models. J. Mach. Learn. Res. 16: 2797-2835 (2015) - [c2]Majid Janzamin, Hanie Sedghi, U. N. Niranjan, Animashree Anandkumar:
FEAST at Play: Feature ExtrAction using Score function Tensors. FE@NIPS 2015: 130-144 - [i5]Animashree Anandkumar, Prateek Jain, Yang Shi, U. N. Niranjan:
Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations. CoRR abs/1510.04747 (2015) - 2014
- [j1]Shanaz Y. Mistry, U. N. Niranjan, M. Gopi:
Puzzhull: Cavity and protrusion hierarchy to fit conformal polygons. Comput. Aided Des. 46: 233-238 (2014) - [c1]Praneeth Netrapalli, U. N. Niranjan, Sujay Sanghavi, Animashree Anandkumar, Prateek Jain:
Non-convex Robust PCA. NIPS 2014: 1107-1115 - [i4]Li Li, John C. Snyder, Isabelle M. Pelaschier, Jessica Huang, Uma-Naresh Niranjan, Paul Duncan, Matthias Rupp, Klaus-Robert Müller, Kieron Burke:
Understanding Machine-learned Density Functionals. CoRR abs/1404.1333 (2014) - [i3]Furong Huang, U. N. Niranjan, Animashree Anandkumar:
Integrated Structure and Parameters Learning in Latent Tree Graphical Models. CoRR abs/1406.4566 (2014) - [i2]Praneeth Netrapalli, U. N. Niranjan, Sujay Sanghavi, Animashree Anandkumar, Prateek Jain:
Non-convex Robust PCA. CoRR abs/1410.7660 (2014) - 2013
- [i1]Furong Huang, U. N. Niranjan, Mohammad Umar Hakeem, Prateek Verma, Animashree Anandkumar:
Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs. CoRR abs/1309.0787 (2013)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-16 23:13 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
